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Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping
FOVEATED 2.5D MAPPING || LiDAR + Deep Learning for Autonomous Navigation
High-speed autonomous navigation in the unknown environment
Indoor autonomous navigation in unknown environments
Provably Safe Autonomous Navigation in Unknown Environments
Learning-aided 3D Occupancy Mapping with Bayesian Generalized Kernel Inference
PATH PLANNING: AMR navigation and mapping
Learning-based 3D Occupancy Prediction for Navigation in Occluded Environments
Autonomous Navigation
Autonomous Navigation of Mobile Robot in Unknown Environments
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Last Updated: September 29, 2026
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Summary
This paper focuses on real-time In this video, we present our Foveated 2.5D FoveaMap turns raw 3D LiDAR into a foveated 2.5D semantic Accepted to IEEE Transactions on Robotics 2019. Kevin Doherty, Tixiao Shan, Jinkun Wang, and Brendan Englot. Video for the ICRA 2021 submission. Learning-
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